Bomil Suh

2.0k total citations · 2 hit papers
13 papers, 1.5k citations indexed

About

Bomil Suh is a scholar working on Information Systems and Management, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Bomil Suh has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems and Management, 7 papers in Sociology and Political Science and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Bomil Suh's work include Technology Adoption and User Behaviour (11 papers), Digital Marketing and Social Media (6 papers) and Customer Service Quality and Loyalty (4 papers). Bomil Suh is often cited by papers focused on Technology Adoption and User Behaviour (11 papers), Digital Marketing and Social Media (6 papers) and Customer Service Quality and Loyalty (4 papers). Bomil Suh collaborates with scholars based in South Korea and Latvia. Bomil Suh's co-authors include Ingoo Han, Ji Hye Park, Seung Kyoon Shin, Eun‐Jung Han, Taeho Hong, Xi Wang and Jiyoung Park and has published in prestigious journals such as Information & Management, Journal of Media Literacy Education and Electronic Commerce Research and Applications.

In The Last Decade

Bomil Suh

11 papers receiving 1.3k citations

Hit Papers

Effect of trust on customer acceptance of Internet banking 2002 2026 2010 2018 2002 2003 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bomil Suh South Korea 5 1.0k 835 455 336 205 13 1.5k
Kallol Bagchi United States 19 724 0.7× 615 0.7× 376 0.8× 364 1.1× 305 1.5× 80 1.7k
Tzung‐I Tang Taiwan 10 1.1k 1.1× 708 0.8× 457 1.0× 282 0.8× 108 0.5× 16 1.5k
Kwoting Fang Taiwan 14 741 0.7× 530 0.6× 248 0.5× 274 0.8× 127 0.6× 51 1.3k
Ya‐Yueh Shih Taiwan 11 669 0.6× 507 0.6× 311 0.7× 523 1.6× 354 1.7× 19 1.5k
Kirk P. Arnett United States 14 1.0k 1.0× 865 1.0× 647 1.4× 405 1.2× 462 2.3× 47 2.0k
Siew Fan Wong Malaysia 19 608 0.6× 672 0.8× 234 0.5× 269 0.8× 169 0.8× 48 1.3k
Ilyoo Barry Hong South Korea 12 812 0.8× 1.2k 1.4× 421 0.9× 810 2.4× 92 0.4× 26 1.8k
Rakhi Thakur India 10 1.0k 1.0× 1.0k 1.2× 520 1.1× 700 2.1× 82 0.4× 10 1.6k

Countries citing papers authored by Bomil Suh

Since Specialization
Citations

This map shows the geographic impact of Bomil Suh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bomil Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bomil Suh more than expected).

Fields of papers citing papers by Bomil Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bomil Suh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bomil Suh. The network helps show where Bomil Suh may publish in the future.

Co-authorship network of co-authors of Bomil Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Bomil Suh. A scholar is included among the top collaborators of Bomil Suh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bomil Suh. Bomil Suh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Hong, Taeho, et al.. (2017). The Factors Influencing on the Intention to Use Mobile Payment System: Focused on Korea and China. 18(4). 159–180. 1 indexed citations
2.
Han, Eun‐Jung, Bomil Suh, & Seung Kyoon Shin. (2016). Developing a Reference Model for Analyzing Mobile Platform Business: From an Ecosystem View. Journal of Media Literacy Education. 2 indexed citations
4.
Park, Ji Hye & Bomil Suh. (2013). The Impact of Influential’s Betweenness Centrality on the WOM Effect under the Online Social Networking Service Environment. Pacific Asia Conference on Information Systems. 60. 5 indexed citations
6.
Hong, Taeho, et al.. (2008). The Selection of CRM Systems in Financial Institution Using the Analytic Hierarchy Process. The Journal of Information Systems. 17(2). 137–154. 2 indexed citations
7.
Suh, Bomil. (2006). The Impact of Perceived Security Control on the Acceptance of Internet Banking. The e-Business Studies. 11(1). 25–52. 4 indexed citations
8.
Suh, Bomil, et al.. (2006). The Development of the Performance Measurement Model for B2B e-Marketplace Using BSC. 8(1). 63–80. 1 indexed citations
9.
Suh, Bomil, et al.. (2005). Exploring the Influence of the Internet Shopping Mall's Quality Factors on User Trust and Acceptance. Korean Management Science Review. 22(1). 27–46. 3 indexed citations
10.
Suh, Bomil & Ingoo Han. (2003). The IS risk analysis based on a business model. Information & Management. 41(2). 149–158. 96 indexed citations
11.
Suh, Bomil & Ingoo Han. (2003). The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce. International Journal of Electronic Commerce. 7(3). 135–161. 666 indexed citations breakdown →
12.
Suh, Bomil & Ingoo Han. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce Research and Applications. 1(3-4). 247–263. 674 indexed citations breakdown →
13.
Han, Ingoo, et al.. (1999). Risk analysis for electronic commerce using case-based reasoning. Intelligent Systems in Accounting Finance & Management. 8(1). 61–73. 39 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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